biopsych Flashcards

1
Q

2 main function of CNS

A

control of behaviour
regulation of psychological processes

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2
Q

4 main area of brain

A

cerebrum
cerebellum
diancephalon
brain stem

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3
Q

cerebrum

A
  • further divided into 4 lobes
    (FPOT)
  • split down in the middle into 2 halves called cerebral hemisphere
  • each hemisphere is specialised for specific behaviour and the 2 halves communicate via the corpus callosum
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4
Q

cerebellum

A

sits beneath cerebrum
- involves in contolling a persons motor skill and balance, coordinating muscles for precise movement

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5
Q

brain stem

A

regulates automatic function that are essential for life

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6
Q

spinal cord

A

it relays info between body and brain
allows brain to monitor and regukate bodily process

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7
Q

diaencapharon

A

beneath cerebrum and above stem cell
within this area is thalamus and hyperthalamus

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8
Q

thalamus

A

relay station of nerve impulse coming from senses routing them to appropriate part of the brain

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9
Q

hyperthalamus

A

regulates body temp, hunger and thirst
controls of hormone from pituary gland

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10
Q

function of PNS

A

relay nerve impulse from CNS to body
relay nerve from body to CNS

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11
Q

somatic nerve impulse

A

these nerve has sensory and motor neuron

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12
Q

reflex actions

A

in emergency situation, info wont go to CNS and it would make an automatic decisions

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13
Q

autonomic nervous psychology

A

body carries out some actions without your conscious awareness such as breathing

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14
Q

sympathetic nervous system

A

uses neurotransmitter which has stimulating effects

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15
Q

exhibitory neurotransmitter

A

makes the post synaptic cell more likely to fire

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16
Q

inhibitory neurotransmitter

A

an off switch
decreases the likelihood of neuron firing

17
Q

flight or fight

A

our bodies physiological response to an event that is perceived as an threatening or danger

18
Q

acute stressor

A

when your are faced with threat your amygdala is activated
amygdala assosiates sensory signals with emotions
amygdala sends a distress signal to hyperthalamus which communicates with the rest of the body through SNS ( sympathetic neuron system)

19
Q

chronic stress

20
Q

SNS

A

send dignals to adrenal medulla, which responds by releasing the adrenaline to the bloodstream

21
Q

Nervous system w evaluation

A

The Nervous System
The nervous system is a specialized network of cells that acts as the body’s primary internal communication system. It has two main functions:

To collect, process, and respond to information from the environment.

To coordinate the working of different organs and cells in the body.

➤ 1. Central Nervous System (CNS)
Brain: The center of all conscious awareness. The outer layer, the cerebral cortex, is highly developed in humans and is responsible for thinking, perception, and voluntary movement.

Spinal cord: Connects the brain to the rest of the body and is responsible for reflex actions. It passes messages to and from the brain and the peripheral nervous system.

➤ 2. Peripheral Nervous System (PNS)
The PNS transmits messages, via neurons, to and from the CNS.

Divided into:

Somatic Nervous System (SNS): Controls voluntary movements by transmitting signals from the sense organs to the CNS and from the CNS to muscles.

Autonomic Nervous System (ANS): Controls involuntary functions such as heart rate, digestion, and breathing.

Sympathetic nervous system: Prepares the body for fight or flight.

Parasympathetic nervous system: Returns the body to a rest and digest state.

strength is the significant real-world applications that stem from research into the nervous system. Understanding how different components of the CNS and PNS function has led to the development of treatments for a range of neurological and psychological conditions. For example, electrical stimulation techniques such as deep brain stimulation (DBS) are now used to treat Parkinson’s disease and severe depression by targeting specific brain areas. In addition, insight into the functioning of the autonomic nervous system has informed techniques for managing anxiety and stress, such as biofeedback and relaxation training. This demonstrates the positive impact on society that such research can have and supports the argument for investment in neuroscientific research.

❌ 3. Reductionism: Oversimplification of Human Behaviour
Despite its strengths, one criticism of the nervous system approach is that it tends to be biologically reductionist. That is, it reduces complex behaviours and mental processes to purely biological mechanisms — such as neural impulses and neurotransmitters — and often ignores the influence of psychological, social, and environmental factors. For example, while aggression has been linked to increased activity in the amygdala, social learning theory would argue that aggression is largely learned through imitation and reinforcement. This narrow focus limits our understanding of behaviour by overlooking the interactionist approach, which integrates multiple levels of explanation. While biological reductionism allows for scientific testing, it may lack ecological validity when applied to the full range of human experience.

❌ 4. Ethical and Methodological Issues in Research
A further limitation relates to the ethical and methodological constraints associated with researching the human nervous system. Much of the evidence comes from animal studies or from individuals with rare brain damage, such as the case of Phineas Gage, whose frontal lobe damage altered his personality. While such case studies are valuable for hypothesis generation, they suffer from low generalisability, as findings from unique individuals may not apply to the wider population. In addition, animal research raises ethical concerns, and the extent to which animal models can represent human behaviour is contested. Therefore, while these studies offer insights, the methodological issues may undermine the strength of conclusions drawn.

22
Q

Neurons and synaptic transmission

A

Neurons are nerve cells that transmit information throughout the nervous system using electrical and chemical signals. They form the building blocks of the nervous system.

➤ Types of Neurons:
Sensory Neurons: Carry information from the sensory receptors (e.g., skin) to the CNS.

Relay Neurons: Connect sensory and motor neurons; found in the brain and spinal cord.

Motor Neurons: Carry messages from the CNS to effector (e.g., muscles or glands).

Neuron Type Direction Function
Sensory Body → CNS From senses to brain
Relay Within CNS Connects neurons
Motor CNS → Body Sends messages to muscles/glands.

➤ Structure of a Neuron:
Dendrites: Receive signals from other neurons.
Cell Body: Contains the nucleus and maintains the cell.
Axon: Carries the electrical impulse away from the cell body.
Myelin Sheath: Fatty layer that insulates the axon and speeds up transmission.
Nodes of Ranvier: Gaps in the myelin sheath that allow for faster impulse transmission.
Axon Terminals: End of the neuron; where neurotransmitters are released into the synapse.

➤ Synaptic Transmission:
The process by which neurons communicate with each other through chemical signals across a gap called a synapse.

Steps:
An electrical impulse (action potential) travels along the axon.
It reaches the axon terminal, triggering the release of neurotransmitters from vesicles into the synaptic cleft.
These chemicals cross the synapse and bind to receptor sites on the postsynaptic neuron.
This can result in excitatory (increasing the chance of the next neuron firing) or inhibitory (reducing the chance of firing) effects.

Common neurotransmitters:
Dopamine (pleasure, reward)
Serotonin (mood)

When a neuron is in a resting state the inside of a cell is negatively charged compared to the outside. When a neuron is activated by a stimulus, the inside of the cell becomes positively charged for a split second causing action potential to occur. This creates an electrical impulse that travels down the axon towards the end of the neuron

Evaluation:
One strength is that research into neurons and synaptic transmission is based on highly scientific methods, such as brain scans, electrophysiology, and post-mortem studies. These allow researchers to observe and measure neural activity in real time, which improves the validity and reliability of findings. For example, EEGs can track electrical activity in neurons, supporting our understanding of how impulses travel and when neurotransmitters are likely to be released.
✅ 2. Real-World Applications
Understanding how neurons and synaptic transmission work has led to the development of drug treatments for various psychological conditions. For example, SSRIs (selective serotonin reuptake inhibitors) increase serotonin availability in the synaptic gap, which helps treat depression. Similarly, dopamine-related treatments help manage Parkinson’s disease. This demonstrates the practical benefits of knowledge in this area, supporting the importance of biopsychological research.

❌ 3. Reductionist View of Behaviour
A limitation is that focusing solely on neurons and neurotransmitters may be biologically reductionist. This approach reduces complex human behaviour and mental health conditions to just brain chemistry, ignoring environmental, social, or psychological factors. For example, while low serotonin is linked to depression, cognitive-behavioural factors like negative thinking patterns also play a major role. This means the explanation, while useful, may be too simplistic for a complete understanding.

❌ 4. Issues with Causality
Many studies in this area are correlational. For example, just because low levels of dopamine are found in patients with schizophrenia, we cannot conclude that this causes the disorder. It could be that the disorder leads to changes in dopamine, not the other way around. This issue with causality weakens the explanatory power of the neurotransmitter-based view.

23
Q
A

Localisation of function is the theory that different areas of the brain are responsible for specific physical and psychological functions. This contrasts with the idea that all parts of the brain work together (holism).

➤ Brain Hemispheres and Lateralisation
The brain is split into two hemispheres (left and right), each controlling the opposite side of the body (contralateral control).

Some functions are lateralised, meaning they are more dominant in one hemisphere:

Left hemisphere: language, logic.

Right hemisphere: spatial abilities, emotions, creativity.

➤ Key Areas of the Brain and Their Functions

Brain Area Location Function
Motor Cortex Frontal lobe (both sides) Controls voluntary movement
Somatosensory Cortex Parietal lobe Processes sensory information (touch, pressure)
Visual Cortex Occipital lobe Processes visual information
Auditory Cortex Temporal lobe Processes sound information
Broca’s Area Left frontal lobe Responsible for speech production
Wernicke’s Area Left temporal lobe Responsible for language comprehension
➤ Supporting Case Studies
Broca (1861): Studied a patient nicknamed “Tan” who could understand language but couldn’t speak. Autopsy showed damage to a small area in the left frontal lobe (now called Broca’s area).

Wernicke (1874): Identified a region in the left temporal lobe responsible for understanding language. Damage here caused fluent but meaningless speech (Wernicke’s aphasia).

Evaluation:
✅ 1. Strong Case Study Evidence
The theory is supported by clinical evidence such as Broca’s and Wernicke’s patients. These case studies show that damage to specific brain areas leads to predictable deficits in function, which supports the idea of localisation. Brain scans (e.g. fMRI) also support this: for instance, listening tasks activate Wernicke’s area, while speaking tasks activate Broca’s area, providing scientific confirmation.

✅ 2. Brain Scan Evidence
Modern techniques like fMRI and PET scans provide more objective and reliable evidence. For example, Petersen et al. (1988) found that Wernicke’s area is active during listening tasks, and Broca’s area during reading and speaking. These technologies support the idea that certain functions are localised, strengthening the scientific credibility of the theory.

❌ 3. Contradictory Research – Equipotentiality
Lashley (1950) proposed the theory of equipotentiality, arguing that higher cognitive functions (like learning) are not localised but instead distributed throughout the cortex. His research on rats showed that removing parts of the brain did not necessarily stop them from learning mazes, suggesting the brain can adapt and reorganise functions (brain plasticity). This challenges strict localisation.

❌ 4. Individual Differences
There is evidence that localisation may vary between individuals. For example, some people have language centres in the right hemisphere or have more bilateral representation (both sides involved). Gender differences have also been noted: women may have more bilateral language functions than men. This suggests localisation may not be as fixed as once believed.

❌ 5. Plasticity – Brain Rewiring
Research on brain plasticity shows that the brain can reorganise itself after injury. For example, if a stroke damages the Broca’s area, other areas can take over language functions. This challenges the idea that functions are strictly tied to specific areas and suggests the brain is more flexible than the localisation theory claims.

24
Q
A

➤ What is Hemispheric Lateralisation?
Hemispheric lateralisation refers to the idea that certain mental processes or behaviours are more dominant in one hemisphere of the brain than the other.

The left hemisphere is typically responsible for:
-Language
-Logical reasoning
-Analytic thought

The right hemisphere is typically responsible for:
- Visual-spatial tasks
- Creativity
- Emotion recognition
- Musical and holistic processing

Despite this, the two hemispheres communicate via the corpus callosum, a bundle of nerve fibres that transfers information between them.

In vision, each eye receives light from both the left and right visual fields. The left visual field from both eyes is processed by the right hemisphere of the brain, and the right visual field from both eyes is processed by the left hemisphere. This crossing of visual information allows the visual cortex to compare the slightly different images from each eye, which helps with depth perception through binocular vision.

Split-brain research involves studying individuals who have had their corpus callosum surgically cut — usually to treat severe epilepsy. This procedure prevents the two hemispheres from communicating, allowing researchers to study each hemisphere’s functions in isolation.

➤ Key Study: Sperry (1968)
Aim:
To investigate the effects of severing the corpus callosum on cognitive functioning and to explore hemispheric lateralisation.

Procedure:
Participants: 11 individuals with split brains.
Visual information was presented to one visual field only (either the left or right), which is processed by the opposite hemisphere. For example, if a word was shown to the left visual field, it would be processed by the right hemisphere.

Key Findings:
When a word was shown to the right visual field (left hemisphere) → participants could say it. When a word was shown to the left visual field (right hemisphere) → participants could not say it, but could draw it with their left hand. When two different words were presented (e.g., “key” to the left visual field and “ring” to the right), participants would draw a key with the left hand and say “ring.”
Conclusion:
This provides strong evidence for language being lateralised to the left hemisphere. The right hemisphere has some ability for non-verbal processing, such as drawing and spatial awareness.

✅ 1. Scientific and Highly Controlled Research
Sperry’s research used standardised procedures and controlled conditions (e.g., presenting stimuli for a fraction of a second to one visual field), which made it possible to isolate and test the functioning of each hemisphere. This increases the internal validity and reliability of the findings. The research was also pioneering and remains influential in our understanding of brain lateralisation.

✅ 2. Support for Functional Specialisation
The findings clearly demonstrate that language is lateralised to the left hemisphere in most people, and that the right hemisphere has strengths in spatial and visual processing. This has been supported by brain imaging studies (e.g., fMRI), which show activation of different hemispheres during different tasks. This strengthens the argument for hemispheric specialisation in cognitive processes.

❌ 3. Small and Unusual Sample
Sperry’s sample was very small (only 11 participants), and all had a history of epilepsy and had undergone a major surgical procedure. This limits the generalisability of the findings to the wider population. The effects observed may be due to the epilepsy itself or the brain’s adaptation to the surgery, not necessarily the loss of the corpus callosum.

❌ 4. Oversimplification of Lateralisation
While the research supports hemispheric differences, later research suggests the distinction between the left and right hemispheres is not absolute. In reality, most tasks involve both hemispheres working together — the brain is highly integrated. For example, even in language processing, some right hemisphere involvement has been found, particularly in understanding tone or metaphor.

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Brain plasticity (or neuroplasticity) refers to the brain’s ability to change and adapt as a result of experience, learning, or injury. It can involve: The strengthening of existing neural connections. The formation of new connections and pathways. Plasticity occurs throughout life but is most pronounced during childhood when the brain is highly adaptable. Evidence: Maguire et al. (2000): Studied London taxi drivers using brain scans. Found significantly more grey matter in the posterior hippocampus (linked to spatial navigation) than in controls. The longer they had been driving, the more structural changes were seen. This shows that the brain can reorganise itself in response to environmental demands. Functional Recovery After brain injury or trauma (e.g. stroke, accident), unaffected areas of the brain can adapt and compensate for lost functions — a form of plasticity known as functional recovery. The brain is able to rewire and reorganise itself by forming new synaptic connections close to the area of damage. this process is supported by a number of structural changes in the brain including: - Axonal sprouting: New nerve endings grow and form new synapses. - Recruitment of homologous areas: The opposite hemisphere may take over the function of the damaged area. - Denervation supersensitivity: when axons do a similar job become aroused to a higher level to compenstate for the ones that are lost. One major strength of research into plasticity and functional recovery is its direct practical application in clinical settings. Understanding that the brain can reorganise itself following trauma has led to the development of neurorehabilitation techniques designed to maximise recovery. For instance, therapies such as constraint-induced movement therapy (which forces the use of an impaired limb) or transcranial magnetic stimulation (to rewire damaged circuits) help stimulate functional recovery by promoting the brain’s natural plasticity. This has important implications for patients recovering from strokes, brain injuries, or surgery, making this research socially and economically valuable. The ability to translate theoretical understanding into real-world interventions supports the external validity of plasticity research and demonstrates psychology's positive contribution to medicine. ✅ 2. Scientific and Objective Evidence Research into brain plasticity is supported by highly objective and scientific methodologies, increasing the reliability and validity of findings. Techniques such as fMRI (functional magnetic resonance imaging) and EEG (electroencephalogram) allow researchers to observe the brain’s structure and function in real time with great precision. For example, Maguire et al. (2000) used MRI scans to demonstrate that London taxi drivers had significantly more grey matter in the posterior hippocampus, an area linked to spatial navigation. This structural change was positively correlated with the amount of time spent driving, providing clear support for experience-dependent plasticity. The use of such sophisticated technology allows for more accurate, replicable data and gives neuroscience a solid empirical foundation, helping it gain credibility as a rigorous scientific discipline. ❌ 4. Individual Differences in Plasticity and Recovery Not all individuals experience the same level of functional recovery, suggesting that plasticity has limits and is influenced by individual factors. For example, age appears to play a crucial role. The brain is thought to be more plastic during childhood, when synaptic pruning and formation occur more rapidly. Elbert et al. (2001) found that the capacity for plasticity is significantly higher in children than in adults, indicating a critical period for recovery. In addition, Schneider et al. (2014) found that patients with a college-level education were seven times more likely to be disability-free one year after a traumatic brain injury compared to those who had not completed secondary education. This suggests that cognitive reserve — built through education and mental stimulation — significantly affects recovery outcomes. These findings underline that brain plasticity and recovery are not universally effective and must be understood within the context of individual variation. ❌ 5. Lack of Long-Term Research and Predictive Power While there is strong evidence for short-term functional recovery, less is known about the long-term sustainability of these changes. Some studies suggest that initial improvements may plateau or even reverse over time, especially without continued intervention. Moreover, many studies in this area are case studies or small-scale, meaning they lack the statistical power to predict outcomes across diverse populations. The process of plasticity is also complex and not fully understood; it is difficult to determine which neural changes are directly responsible for behavioural recovery. As a result, although functional recovery can be observed, predicting its success in any individual case remains limited. This reduces the predictive validity of current research and indicates a need for more longitudinal and large-scale studies.
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➤ 1. fMRI (Functional Magnetic Resonance Imaging) Measures changes in blood oxygenation and flow when a person performs a task. Active brain areas use more oxygen; fMRI produces 3D images showing which areas are active (localisation of function). Example: Used to study language processing, memory, and emotion in real-time. ➤ 2. EEG (Electroencephalogram) Measures electrical activity in the brain via electrodes placed on the scalp. Produces brain wave patterns used to detect unusual activity (e.g., epilepsy, sleep stages). Example: Used in sleep studies and diagnosing seizure disorders. ➤ 3. ERPs (Event-Related Potentials) A type of EEG that measures brain responses to specific stimuli (e.g., sounds, images). Uses statistical averaging to filter out background activity, leaving only the stimulus-linked response. Example: Used to study attention, decision-making, and perception. ➤ 4. Post-Mortem Examinations Analysis of a person’s brain after death, often used in people with rare conditions. Brain is examined for structural abnormalities or damage linked to behaviour or deficits during life. Example: Broca’s post-mortem study of “Tan” revealed damage to left frontal lobe, supporting localisation of speech. 🔸 AO3: In-Depth Evaluation of Brain Study Methods ✅ 1. fMRI – Strengths Non-invasive and does not use radiation, making it safe. Produces images with high spatial resolution (about 1–2 mm), allowing precise localisation of brain activity. Provides a dynamic (live) picture of the brain. However: - Has poor temporal resolution (5–10 seconds delay between brain activity and image). - Measures blood flow, not direct neural activity — an indirect measure. ✅ 2. EEG – Strengths Excellent temporal resolution — detects activity changes to the millisecond. - Useful in clinical diagnosis, e.g. epilepsy, and in understanding sleep cycles. However: - Poor spatial resolution — can’t pinpoint exact brain structures involved. - Electrical signals are picked up from many neurons — hard to isolate exact sources of activity. ✅ 3. ERPs – Strengths Combines high temporal resolution (like EEG) with ability to pinpoint response to specific stimuli. - Useful for cognitive research, e.g. investigating attention, language, and sensory processing. However: - Requires many trials to produce reliable data (as background noise must be filtered out). - Interpretation can be complex and subjective, depending on experimental controls. ✅ 4. Post-Mortems – Strengths Allow for detailed examination of physical brain structure. - Has provided foundation for many early discoveries in brain science (e.g., Broca and Wernicke). However: - Only provides retrospective information — can’t measure brain activity or function at the time of behaviour. - Hard to establish causation — damage found may not be directly linked to the behaviour observed. - Ethical issues may arise, especially with informed consent (e.g., historical case studies).
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Circadian rhythms are biological cycles that last approximately 24 hours and repeat daily. The key circadian rhythm you need to know is: ⏰ 1. Sleep–Wake Cycle Controlled by the suprachiasmatic nucleus (SCN) in the hypothalamus. The SCN responds to light levels and helps regulate melatonin production via the pineal gland. At night, melatonin is increased to promote sleep; during daylight, melatonin is suppressed, promoting wakefulness. 🧑‍🔬 Siffre (1975) Lived in a cave with no natural light or time cues for 6 months. His sleep-wake cycle settled into a rhythm of around 25 hours, showing the existence of an endogenous pacemaker (internal clock). However, the cycle was slightly longer than 24 hours, showing the importance of external cues (e.g., light) in adjusting the cycle. 🧪 Aschoff and Wever (1976) Participants lived in a bunker without natural light. Most developed circadian rhythms around 24–25 hours, supporting Siffre’s findings. ✅ 1. Real-World Applications – Shift Work and Health Understanding circadian rhythms has practical applications in improving workplace efficiency and health. Research has shown that disruption to circadian rhythms (e.g., night shifts) can lead to health problems, including heart disease, depression, and increased accidents. For instance, Boivin et al. (1996) found that night-shift workers had reduced alertness at around 6 a.m. This research is useful for informing shift scheduling, improving worker safety, and promoting occupational health. ✅ 2. Useful in Medical Research and Drug Treatments Circadian rhythms also inform chronotherapeutics – the timing of drug treatments. For example, some medications (like chemotherapy or blood pressure drugs) are more effective if taken at certain times of day. This shows how understanding biological rhythms can have life-saving applications in medicine, increasing the ecological and practical validity of the research. ❌ 3. Methodological Issues in Case Studies Key studies like Siffre’s are based on small samples or case studies, often involving just one person in artificial conditions. This makes it difficult to generalise the findings to the wider population. For example, Siffre later admitted that his internal clock slowed down with age, suggesting individual differences are significant. As such, results may not apply universally. ❌ 4. Artificial Conditions and Lack of Ecological Validity Studies that isolate participants from natural light (e.g., bunkers or caves) involve highly artificial environments. This may affect participants’ stress levels, sleep quality, and general behaviour, potentially confounding the results. The lack of real-world relevance limits the external validity of such findings. ❌ 5. Individual Differences in Circadian Rhythms There are notable individual differences in circadian rhythms. For example, Duffy et al. (2001) found that some people are naturally “morning people” (larks), while others are “night owls.” Age also plays a role, as teenagers often have a delayed sleep phase. This variation suggests that one-size-fits-all explanations of circadian rhythms are overly simplistic and need to account for genetic and developmental factors.
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Infradian rhythms are biological rhythms that last longer than 24 hours. They may occur weekly, monthly, or even annually. ➤ Key Infradian Rhythms to Know: 1. The Menstrual Cycle An infradian rhythm lasting approximately 28 days, regulated by hormones such as oestrogen and progesterone. These hormones prepare the uterus for pregnancy by causing ovulation and thickening the womb lining. Controlled by endogenous factors (hormones), but can be influenced by exogenous cues, such as pheromones. ⏳ McClintock (1998) – Research on Menstrual Synchrony Studied 29 women with irregular cycles. Pheromones were collected from women at different stages of their cycle and applied to other women’s upper lips. 68% of participants experienced changes to their cycle that brought them closer to the cycle of the pheromone donor. This suggests synchronisation of menstrual cycles can occur via exogenous zeitgebers like pheromones. 2. Seasonal Affective Disorder (SAD) A type of depression that occurs in a seasonal pattern, typically during winter months when daylight hours are shorter. Thought to be linked to melatonin – the pineal gland produces more melatonin in darkness, which may suppress serotonin production and lead to low mood. SAD is considered a circannual rhythm (yearly), but also has features of a circadian disruption (due to reduced daylight). ✅ 1. Research Support for Hormonal and Pheromonal Influence McClintock’s study supports the role of exogenous cues (like pheromones) in regulating infradian rhythms. Her findings suggest that biological rhythms, while driven internally, can be influenced by social and environmental factors. This supports the interactionist approach in biopsychology, showing that both endogenous and exogenous factors are important in understanding infradian rhythms. ❌ 2. Methodological Issues in Synchrony Research Despite McClintock’s findings, methodological criticisms have been raised: The study was not tightly controlled – other factors such as diet, stress, and exercise may also influence menstrual cycles. Sample size was small and the effects modest. Critics argue the evidence for menstrual synchrony is inconsistent, and chance may account for some synchronisation. For example, Trevathan et al. (1993) found no evidence of synchrony in a large sample of women living together. This raises concerns about the validity and replicability of synchrony research. ✅ 3. Real-World Application – Treatment of SAD Understanding SAD as an infradian rhythm has led to effective treatments such as phototherapy (exposure to bright artificial light). Phototherapy is shown to reset melatonin levels and relieve symptoms in up to 60% of sufferers. This supports the role of light as an exogenous zeitgeber influencing infradian rhythms and highlights useful, practical applications of this research in treating mental health conditions. ❌ 4. Evolutionary Perspective – Menstrual Synchrony May Not Be Adaptive Some argue that menstrual synchrony has evolutionary value — for example, it may have helped women nurture offspring collectively by synchronising pregnancies. However, others question this: If all females in a group ovulate at the same time, this may increase competition for the most genetically fit males. From an evolutionary standpoint, asynchrony may be more beneficial for reproductive success. This debate challenges the assumption that synchronisation is a biologically adaptive trait. ❌ 5. Reductionism – Oversimplifying SAD While SAD is linked to melatonin, this biological explanation may be too reductionist. Psychological and social factors such as reduced social contact or negative thinking during winter — may also contribute. This means that holistic models (including both biological and environmental factors) might better explain SAD than purely biological accounts, highlighting the need for an interactionist approach.
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Ultradian rhythms are biological cycles that occur more than once in a 24-hour period. These rhythms are shorter than a day and repeat frequently. ➤ Key Ultradian Rhythm: The Sleep Cycle The most commonly studied ultradian rhythm is the sleep cycle, which repeats approximately every 90 minutes during the night. ➤ Stages of the Sleep Cycle: Sleep is made up of five distinct stages, which cycle through approximately 4–6 times per night. Stage 1 (Light Sleep) – Alpha/theta waves, easily woken. Stage 2 – Slightly deeper sleep; sleep spindles and K-complexes appear. Stage 3 (Deep Sleep) – Delta waves, body begins to repair. Stage 4 (Very Deep Sleep) – Mostly delta waves; restorative. REM Sleep (Rapid Eye Movement) – Brain is active, dreaming occurs, body is paralysed. REM sleep increases in length throughout the night. The cycle of stages 1–4 followed by REM is an example of an ultradian rhythm. ➤ Research Evidence: Dement and Kleitman (1957) Monitored 9 adults during sleep using EEG recordings. Found regular patterns of brain activity corresponding to different stages of sleep. REM sleep was strongly associated with dreaming — participants awoken during REM were more likely to recall dreams. ✅ This provided objective evidence for the ultradian structure of the sleep cycle. 🔸 AO3: Evaluation of Ultradian Rhythms ✅ 1. Scientific and Objective Evidence Research into ultradian rhythms (e.g. by Dement & Kleitman) uses controlled lab settings and scientific equipment like EEGs to monitor brain waves. This allows for precise, objective, and replicable measurements of sleep stages. The use of technology enhances the scientific credibility of research and supports the idea that the sleep cycle follows a regular, biological rhythm. ✅ 2. Support from Individual Differences in Sleep Although the sleep cycle generally follows a 90-minute rhythm, individual differences are common and meaningful. Tucker et al. (2007) found significant differences in the duration of each sleep stage between participants, even under controlled conditions. This suggests that ultradian rhythms are influenced by both biological and possibly genetic factors, supporting the idea that there is variation within a general biological framework. ❌ 3. Artificial Lab Conditions Many studies on sleep cycles, including Dement and Kleitman’s, are conducted in sleep laboratories where participants are connected to EEGs and may be disturbed during the night. These artificial settings may impact the natural sleep cycle due to lack of ecological validity, stress, or discomfort. As a result, the findings may not fully represent how sleep works in everyday life. ❌ 4. Limited Understanding of REM Sleep Functions While REM sleep is linked to dreaming and memory consolidation, its exact purpose is still debated. Some researchers argue REM is essential for emotional processing or cognitive development, but evidence is not conclusive. This limits our understanding of why ultradian rhythms exist and what function they serve. ✅ 5. Real-World Applications: Sleep and Mental Health Understanding ultradian rhythms, particularly the sleep cycle, has important applications in treating sleep disorders, mental health problems, and optimising performance. For example, disruptions in REM sleep have been linked to conditions such as depression and anxiety. Improving knowledge of these patterns allows for more targeted therapies and lifestyle interventions.
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Endogenous and exogenous pacemakers
These are mechanisms that regulate biological rhythms, such as the circadian sleep–wake cycle. ➤ What Are Endogenous Pacemakers? Endogenous pacemakers are internal biological clocks that help regulate our biological rhythms without external cues. 🧠 Key Example: The Suprachiasmatic Nucleus (SCN) The SCN is a bundle of nerve cells located in the hypothalamus. It is the main circadian pacemaker, regulating the sleep–wake cycle. It sends signals to the pineal gland, which secretes melatonin. Melatonin levels rise at night to promote sleep and fall in the morning. 🔬 Animal Research: DeCoursey et al. (2000) Destroyed the SCN in chipmunks. Returned them to the wild, and many were killed by predators — they were awake at dangerous times due to loss of their natural sleep–wake rhythm. Shows the SCN is vital for survival and behavioural regulation. ➤ What Are Exogenous Zeitgebers? Exogenous zeitgebers are external environmental cues that help regulate biological rhythms, synchronising them with the outside world. ☀️ Key Example: Light Light is the most important zeitgeber. It resets the SCN each day to keep the circadian rhythm in time with the environment. Light can even affect people through closed eyelids. ➤ Research: Campbell and Murphy (1998) Shone light on the back of participants' knees. Their sleep–wake cycles were shifted by up to 3 hours, showing light can influence biological rhythms without entering the eyes. 👃 Other Zeitgebers: Social cues, meals, routines These can also influence circadian rhythms (e.g. adjusting to jet lag). 🔸 AO3: Evaluation of Endogenous Pacemakers and Exogenous Zeitgebers ✅ 1. Support from Animal and Human Research Animal studies (e.g. DeCoursey et al.) and human studies (e.g. Siffre’s cave study) show that endogenous pacemakers are important in regulating biological rhythms, even in the absence of external cues. These findings support the role of internal clocks, like the SCN, as biologically hardwired mechanisms that drive behaviour. ❌ 2. Issues with Animal Research – Ethical and Generalisability Studies like DeCoursey's involve ethical concerns, as animals were harmed and left vulnerable. There's also a problem of generalising findings from animals (e.g. chipmunks or hamsters) to humans. Human biological rhythms are influenced by social and cognitive factors, so direct comparisons are limited. ✅ 3. Practical Applications – Shift Work and Jet Lag Understanding how endogenous pacemakers and exogenous zeitgebers interact has practical value in areas such as managing shift work, light therapy for SAD, and minimising jet lag. These applications show how psychology can improve health and well-being by manipulating environmental cues to regulate rhythms. ❌ 4. Overstating the Role of Exogenous Cues Some research shows biological rhythms persist without external cues, suggesting endogenous pacemakers may be more dominant. For example: Siffre’s cave studies showed a natural sleep–wake cycle continued without any light or social cues, though it lengthened slightly (~25 hours). This implies exogenous zeitgebers are not essential, but instead act as fine-tuners, keeping rhythms aligned with the environment. ✅ 5. Light as a Powerful Zeitgeber The Campbell and Murphy study highlights that light can influence rhythms even through the skin, supporting the idea that it’s a powerful zeitgeber. However, the study has faced replication issues and methodological concerns (e.g. light might have reached the eyes), so its conclusions should be treated with caution. ❌ 6. Reductionism – Ignoring Interaction Much research isolates either pacemakers or zeitgebers, but in real life, these systems interact constantly. A more valid approach might be an interactionist model, which recognises that both internal and external factors combine to regulate rhythms. Solely focusing on one system is biologically reductionist.
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